Text Generation
fastText
Latgalian
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-baltic
Instructions to use wikilangs/ltg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/ltg with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/ltg", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 52abe9617895e9cc490db4551786d5f51709463a071186e9636696fe0fe1e0f2
- Size of remote file:
- 264 kB
- SHA256:
- 46f3dd4d4a7bd758c7607e44a4606f562150d0b890e2fac04f3fe16b4eca5680
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